基于光学字符识别技术的教学信息采集与评价数字化平台

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Abstract In line with the national directives and requirements for the digital transformation of education and teaching, this paper addresses the practical challenges of digital transformation in blended teaching evaluation by applying artificial intelligence image processing technology and database technology to the process of collecting blended teaching evaluation information. A digital platform for teaching information collection and evaluation based on optical character recognition technology is developed. The article elaborates on the platform's overall architecture and software construction plan, showcasing the system's functionalities from both design and application perspectives. Practice has shown that the platform enables the full-process digital collection of teaching information, improves teachers' work efficiency, and accelerates the digital transformation of education.

Key words： digital acquisition optical character recognition convolutional neural networks browser/ server architecture database

Received: 28 December 2024

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	Articles by authors
	ZHU Yongjia
	YAN Maode
	ZHU Liya

Cite this article:

ZHU Yongjia,YAN Maode,ZHU Liya. Digital platform for teaching information collection and evaluation based on optical character recognition technology[J]. Electrical Engineering, 2025, 26(9): 79-84.

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https://dqjs.cesmedia.cn/EN/Y2025/V26/I9/79